58 citations · 173 across the 29 of their papers we have counts for
5 papers · 1 filter
Multi-Modality Cardiac Image Analysis with Deep Learning
Lei Li, Fuping Wu, Sihang Wang +1
Accurate cardiac computing, analysis and modeling from multi-modality images are important for the diagnosis and treatment of cardiac disease. Late gadolinium enhancement magnetic…
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition
Lei Li, Wangbin Ding, Liqun Huang +1
Right ventricular (RV) segmentation from magnetic resonance imaging (MRI) is a crucial step for cardiac morphology and function analysis. However, automatic RV segmentation from MR…
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs
Lei Li, Veronika A. Zimmer, Julia A. Schnabel +1
Left atrial (LA) segmentation from late gadolinium enhanced magnetic resonance imaging (LGE MRI) is a crucial step needed for planning the treatment of atrial fibrillation. However…
Medical Image Analysis on Left Atrial LGE MRI for Atrial Fibrillation Studies: A Review
Lei Li, Veronika A. Zimmer, Julia A. Schnabel +1
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) is commonly used to visualize and quantify left atrial (LA) scars. The position and extent of scars provide importa…
Unsupervised Multi-Modality Registration Network based on Spatially Encoded Gradient Information
Wangbin Ding, Lei Li, Xiahai Zhuang +1
Multi-modality medical images can provide relevant or complementary information for a target (organ, tumor or tissue). Registering multi-modality images to a common space can fuse…